A practical course for people who work with health data and want to analyse it with confidence. Participants learn to clean and manage health data, analyse it with Stata or R, build surveillance dashboards and take their first steps in predictive analytics, using real routine health information system data.
- Duration
- 6 weeks (3 hours per week)
- Format
- Blended: live online or in-person sessions with practical labs
- Level
- Intermediate
- Who it is for
- Health workers, health information officers, program managers, researchers and students with basic computer skills.
- Fees
- Shared on request. Contact us for the current fee.
Course outline
- Module 1: Health data foundations, data sources and data quality
- Module 2: Routine health information systems and DHIS2 data
- Module 3: Descriptive statistics and data visualization (Stata or R)
- Module 4: Inference and regression modeling for health
- Module 5: Dashboards, surveillance and GIS mapping
- Module 6: Introduction to predictive analytics and capstone project
What you gain
- Analyse and present health data with confidence
- Build dashboards that support decisions in your facility or program
- Practise on real routine health data, not only theory
- Taught with university partners and industry experts
- Counts toward your continuing professional development
An introductory course that builds a common foundation in digital health. Participants learn what electronic medical records, telehealth and health data tools are, how to use them safely and ethically, and how they fit into everyday clinical work.
- Duration
- 2 days (about 12 hours)
- Format
- In-person or live online workshop with guided practice
- Level
- Level 1 (beginner)
- Who it is for
- All health workers and health students, including those with no prior digital health experience.
- Fees
- Shared on request. Contact us for the current fee.
Course outline
- Session 1: What is digital health? Concepts, examples and why it matters
- Session 2: Electronic medical records and health information systems in practice
- Session 3: Telehealth and mobile health basics
- Session 4: Using health data: from recording to decisions
- Session 5: Privacy, consent, security and ethics
- Session 6: Working with digital tools day to day and next steps
What you gain
- Feel confident using digital tools in clinical work
- Understand how to protect patient data and privacy
- Speak the same digital health language as your colleagues
- A clear path to Level 2 and specialist trainings
- Counts toward your continuing professional development
A practical course on delivering care at a distance. Participants learn telemedicine models, clinical workflows and etiquette, technology choices for low-bandwidth settings, and the legal, ethical and quality requirements, then practise through simulated consultations.
- Duration
- 4 weeks (3 hours per week)
- Format
- Blended: live online sessions, case studies and simulated consultations
- Level
- Intermediate
- Who it is for
- Clinicians, nurses, health managers and digital health teams planning or running telemedicine services.
- Fees
- Shared on request. Contact us for the current fee.
Course outline
- Module 1: Telemedicine models and when to use them
- Module 2: Clinical workflows, consultation skills and etiquette
- Module 3: Technology choices for low-bandwidth and offline-first settings
- Module 4: Privacy, consent, regulation and patient safety
- Module 5: Quality, evaluation and sustainability
- Module 6: Simulated consultations and service plan
What you gain
- Design a telemedicine service that fits your setting
- Run safe, professional remote consultations
- Choose technology that works with limited connectivity
- Taught with university partners and practising experts
- Counts toward your continuing professional development
A technical course on health information exchange. Participants learn the HL7 family of standards, work with FHIR resources and APIs, use common terminologies, and practise connecting systems such as OpenMRS and DHIS2 in guided labs.
- Duration
- 5 days (about 30 hours)
- Format
- Intensive workshop with hands-on labs, in person or live online
- Level
- Intermediate to advanced
- Who it is for
- Health informaticians, software developers, health information system managers and technical staff of health programs.
- Fees
- Shared on request. Contact us for the current fee.
Course outline
- Day 1: Interoperability concepts and the HL7 family of standards
- Day 2: HL7 v2 messaging and CDA in practice
- Day 3: FHIR fundamentals: resources, REST API and JSON
- Day 4: Terminologies and profiles: ICD-10/11, LOINC and SNOMED CT
- Day 5: Integration lab with OpenMRS and DHIS2, and review
What you gain
- Understand how health systems exchange data
- Read, build and test FHIR resources and APIs
- Plan interoperability for your hospital or program
- Learn from practitioners who have implemented these systems
- Counts toward your continuing professional development
Fees and enrolment. Fees depend on the training, the number of participants and whether it is delivered in person, online or in-house for your organisation. Use the "Apply" button on any training and we will send the current fee, dates and enrolment steps.